Lua 的绿色一面
The Green Side of the Lua

原始链接: https://arxiv.org/abs/2601.16670

在论文《Lua 的绿色一面》(The Green Side of the Lua)中,Brandão 等人研究了 Lua 编程语言的能效与运行性能。鉴于全球对可持续软件的推动,作者通过一套全面的基准测试,分析了 25 个官方 Lua 解释器和 JIT(即时)编译器版本。 研究表明,JIT 编译带来了显著的性能提升:最高效的 LuaJIT 实现比最好的标准 Lua 解释器运行速度快 7 倍,能耗也降低了 7 倍。尽管 LuaJIT 的效率仍不及 C 语言(运行速度慢约 8 倍,能耗高出 6 倍),但它大幅缩小了解释型语言与编译型语言之间的效率差距。研究结果强调了 JIT 技术在优化软件能效及改善解释型编程语言整体环境影响方面的关键作用。

所提供的文本概述了 Hacker News 上关于一篇题为《Lua 的绿色一面》(The Green Side of the Lua)的论文的讨论,该论文探讨了不同 Lua 和 LuaJIT 版本的能效。 讨论主要突出了两点: 1. **方法论批评:** 用户“Rochus”对论文的发现提出质疑,特别指出较新的 LuaJIT 版本并未表现出速度提升。他们认为该论文依赖于局限的微基准测试,并建议“Are-we-fast-yet”基准测试套件能更准确地反映不同语言版本间的性能差异。 2. **更广泛的影响:** 另一位用户“aa-jv”强调了这项研究对嵌入式系统的重要性,因为在这些系统中能耗至关重要。他们希望这项研究能促进行业的广泛趋势,推动其他语言(特别是 Python)的开发者在未来的 JIT 开发中将能效作为核心优化目标。 总之,尽管这篇论文为衡量 Lua 的“绿色”性能提供了一个起点,但社区成员主张采用更稳健的基准测试标准,并希望在语言设计上能向注重能效的方向实现更广泛的转变。
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原文

View a PDF of the paper titled The Green Side of the Lua, by Andr\'e Brand\~ao and 4 other authors

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Abstract:The United Nations' 2030 Agenda for Sustainable Development highlights the importance of energy-efficient software to reduce the global carbon footprint. Programming languages and execution models strongly influence software energy consumption, with interpreted languages generally being less efficient than compiled ones. Lua illustrates this trade-off: despite its popularity, it is less energy-efficient than greener and faster languages such as C.
This paper presents an empirical study of Lua's runtime performance and energy efficiency across 25 official interpreter versions and just-in-time (JIT) compilers. Using a comprehensive benchmark suite, we measure execution time and energy consumption to analyze Lua's evolution, the impact of JIT compilation, and comparisons with other languages. Results show that all LuaJIT compilers significantly outperform standard Lua interpreters. The most efficient LuaJIT consumes about seven times less energy and runs seven times faster than the best Lua interpreter. Moreover, LuaJIT approaches C's efficiency, using roughly six times more energy and running about eight times slower, demonstrating the substantial benefits of JIT compilation for improving both performance and energy efficiency in interpreted languages.
From: João Saraiva [view email]
[v1] Fri, 23 Jan 2026 11:40:30 UTC (2,146 KB)
[v2] Fri, 30 Jan 2026 07:52:17 UTC (2,143 KB)
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